IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

E-Ophthalmology in the Diagnosis and Follow-Up of Chronic Glaucoma

E-Ophthalmology in the Diagnosis and Follow-Up of Chronic Glaucoma
View Sample PDF
Author(s): Jose Andonegui (Complejo Hospitalario de Navarra, Spain), Aitor Eguzkiza (Public University of Navarra, Spain), Mikel Auzmendi (Public University of Navarra, Spain), Luis Serrano (Public University of Navarra, Spain), Ane Zurutuza (Complejo Hospitalario de Navarra, Spain)and Mónica Pérez de Arcelus (Complejo Hospitalario de Navarra, Spain)
Copyright: 2013
Pages: 21
Source title: Handbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care
Source Author(s)/Editor(s): Maria Manuela Cruz-Cunha (Polytechnic Institute of Cavado and Ave, Portugal), Isabel Maria Miranda (Municipality of Guimarães, Portugal)and Patricia Gonçalves (School of Technology at the Polytechnic Institute of Cavado and Ave, Portugal)
DOI: 10.4018/978-1-4666-3990-4.ch005

Purchase

View E-Ophthalmology in the Diagnosis and Follow-Up of Chronic Glaucoma on the publisher's website for pricing and purchasing information.

Abstract

e-Ophthalmology is the use of information and telecommunications technologies to provide or support a group of activities related to ophthalmic care. Chronic glaucoma is an ocular disease characterized by optic neuropathy that leads to progressive loss of the visual fields and often is associated with elevated intraocular pressure levels. Glaucoma is an important public health problem because it is one of the main causes of blindness worldwide and generates an important demand for ophthalmologic consultations. The aim of this chapter is to discuss the application e-Ophthalmology-based models in the diagnosis and follow-up of chronic glaucoma. The authors describe the current status of the use of e-Ophthalmology-based models in the screening and follow-up of chronic glaucoma, the main advantages of these models, the technologic requirements for their implementation, and future trends in this field.

Related Content

. © 2024. 27 pages.
. © 2024. 10 pages.
. © 2024. 13 pages.
. © 2024. 6 pages.
. © 2024. 23 pages.
. © 2024. 14 pages.
. © 2024. 7 pages.
Body Bottom